• Lead the design and delivery of Data Technical Assistance for partners, including data use coaching, analytic support, and interpretation of findings for practice and policy audiences • Conduct applied quantitative, qualitative, and mixed-methods analyses using administrative, survey, and secondary data • Design, administer, and analyze surveys using Alchemer software • Support partners in navigating postsecondary data systems, including financial aid data, enrollment and persistence data, and high school to postsecondary transition indicators • Develop partner-facing tools, briefs, and data products that support partner decision-making and translate evidence into action • Serve as the primary point of contact for a subset of partners, supporting relationship management, work planning, and deliverables • Lead discrete projects or project components, including scoping, task coordination, data collection, analysis, and reporting • Collaborate with internal team members to ensure high-quality, timely deliverables and alignment with equity commitments • Lead proposal development and project scoping efforts, including budgeting and partner development • Support grant reporting and documentation tied to postsecondary success funding streams • Represent Education Northwest externally through presentations, convenings, and thought leadership activities • Contribute to internal learning agendas related to data use, postsecondary transitions, and technical assistance • Participate in internal teams (e.g., mixed methods, equity action, Area of Work teams) and share lessons learned across projects • Support proposal and project development through analytic contributions, writing, and partner engagement as appropriate • Support cross-project coordination and alignment across Washington-based initiatives • Perform other duties as assigned

• Frame and solve complex perception problems using scientific and engineering best practices. • Collaborate with product, engineering, and design teams to translate user needs into research questions and solutions. • Design, implement, and iterate on machine learning and computer vision models for structured understanding of spaces. • Develop robust evaluation pipelines and experiments to measure and improve model performance. • Integrate models into production systems, ensuring reliability and scalability. • Monitor and improve deployed models based on real-world data and user feedback. • Mentor and support team members in modeling, evaluation, and research practices. • Communicate findings and technical decisions clearly to both technical and non-technical partners.

• Manage large, complex research projects or series of smaller projects • Ensure all task activities and deliverables are completed on time • Develop strategic plans and timelines for research products • Manage and mentor staff • Oversee planning, design, and implementation of research projects • Lead analysis and synthesis of data • Serve as an expert and disseminate findings through publications • Engage thought leaders across the public health arena.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Lightning Scientist is a subject-matter expert responsible for advancing AccuWeather’s lightning detection, analysis, and interpretation capabilities. This role combines deep scientific understanding of lightning physics with practical expertise in RF systems, sensor networks, and algorithm development. The Senior Lightning Scientist plays a critical role in improving lightning detection accuracy, developing new methodologies, guiding technical strategy, and collaborating across science, engineering, and product teams to deliver industry-leading lightning intelligence products. Working closely with data science, hardware, and software engineering teams, this role drives innovation in lightning detection technologies, signal processing, and real-time analysis systems that support AccuWeather’s operational, commercial, and public safety offerings. Qualifications - Advanced degree (PhD or MS with significant experience) in Atmospheric Science, Electrical Engineering, Physics, Geophysics, or a related field. - Deep understanding of lightning physics, electromagnetic emissions from lightning, and storm electrification processes. - Strong background in RF systems, signal processing, and spectral analysis. - Demonstrated experience with lightning detection techniques such as TOA, TDOA, interferometry, or related geolocation methods. - Proficiency in algorithm development and data analysis using Python, C++, or similar scientific computing environments. - Experience working with large-scale, real-time observational data systems. - Strong analytical, problem-solving, and critical-thinking skills. - Ability to communicate complex scientific and technical concepts clearly to both technical and non-technical audiences. Requirements - Serve as a technical and scientific authority on lightning physics, detection methodologies, and operational interpretation. - Lead the development, evaluation, and improvement of lightning detection algorithms using techniques such as TOA, TDOA, interferometry, and hybrid approaches. - Analyze RF signals across relevant frequency bands used in lightning detection, including waveform characterization, noise mitigation, and signal classification. - Collaborate with hardware and electrical engineering teams on sensor design, RF front-end considerations, antenna design, placement, and calibration strategies. - Develop and refine signal processing pipelines for real-time and post-processed lightning data. - Design, test, and validate algorithms for lightning geolocation, flash clustering, classification (e.g., CG vs IC), and quality control. - Evaluate network performance, detection efficiency, location accuracy, and timing precision using ground truth and statistical methods. - Contribute to the integration of lightning data into forecasting, nowcasting, severe weather detection, and machine learning systems. - Provide technical leadership, mentorship, and guidance to scientists and engineers working on lightning-related systems. - Document methodologies, assumptions, system limitations, and scientific findings for internal and external stakeholders. - Collaborate with product, operations, and research teams to translate scientific advances into scalable, customer-facing solutions. - Performs other duties as assigned. Preferred Qualifications - Experience designing or working directly with lightning detection hardware, sensors, or ground-based networks. - Background in antenna theory, antenna design, and RF propagation effects. - Familiarity with FPGA, SDR, or embedded systems used in RF signal acquisition. - Experience with cloud-based data platforms and high-throughput data processing pipelines. - Published research or patents related to lightning detection, RF sensing, or atmospheric electricity. - Experience collaborating with operational forecasting or severe weather teams. - Familiarity with machine learning applications applied to lightning or RF signal classification.